How does "Non-Negative Matrix Factorization" (NMF) contribute to dimensionality reduction in data analysis?
By transforming features into a lower-dimensional space
By assigning equal importance to all features
By evaluating the correlation between features
By measuring the entropy of each feature
This question is part of this quiz :
Data Analysis Quiz: Questions And Answers